Model Based Systems Engineer

Model Based Systems Engineer The Opportunity:

Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in system modeling for the DoD? You understand your customer’s environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications, makes you an integral part of delivering a customer focused engineering solution.

You'll support the PAE Mission Systems Digital Engineering (DE) Lead to steer the development and technical direction of DE standards, ontologies, and work products. You will apply advanced technical knowledge of MBSE tools, languages, and methodologies to provide insight and recommendations for direction of technical products development. You'll provide technical oversight and lead development and maintenance of Navy MBSE technical products such as the Base Classifier Library (BCL), Integrated Dictionary (ID), Model Verification Tool execution, and Deployable Ready Products (DRP). You'll work independently with some guidance and may review or guide activities of more junior employees.

As a systems engineer on our team, you have the chance to design MBSE techniques and practices in support of DoD C4I systems across the life cycle. Your technical expertise will be vital as you implement MBSE approaches and tools to help client delivery teams transition to model-based system architectures. You’ll develop your skills in SysML, object-oriented systems engineering method functions-based systems engineering method, and integration while gaining experience in C4I and enterprise networking technologies. Grow your skills by merging system modeling and networking to create robust network system architectures for development, implementation, and sustainment. Join our team and help turn requirements into accomplishments that drive change.

Join us. The world can't wait.

You Have:

3+ years of experience with MBSE tools, including Cameo Systems Modeler (CSM), MagicDraw, and Teamwork Cloud (TWC)

3+ years of experience with collaborative Navy modeling environments on NIPR and SIPR, including Naval Integrated Modeling Environment (N-IME), Naval Digital Engineering Ecosystem (NDEE), and TWC

3+ years of experience with modeling languages and methodologies, including Systems Modeling Language (SysML), Unifed Modeling Language (UML), Unified Architecture Framework (UAF) and UAF Profile (UAFP), and Department of Defense Architecture Framework (DoDAF)

Experience with MBSE concepts, such as generalization, inheritance, redefinition, refactoring, developing structured expressions, and distinguishing between stereotype tags and owned attributes

Experience maintaining models in collaborative environments such as TWC, working with federated architectures and project usages, and transferring models between classified enclaves such as using DOTS to transfer from NIPR to SIPR

Experience with model verification tools and techniques, including metric suites, validation rules, structure expressions, and Jython scripting

Knowledge of authoritative reference sources, including the Joint Capability Areas (JCA), Universal Naval and Joint Task Lists (UNTL and UJTL), and Joint Common System Functions List (JCSFL) and how they are used in architecture model development

Ability to bridge the gap between MBSE capabilities and organizational needs to improve organizational processes and products with MBSE tooling

Secret clearance

Bachelor’s degree

Nice If You Have:

Experience developing architecture models that conform to DoDAF and UAF

Experience with Top Secret (TS) Navy modeling environments, including Eden TS Teamwork Cloud

Knowledge of PAE Mission Systems and Chief Engineer’s (CHENG) organizational processes and procedures, such as Engineering Change Requests (ECR), Interim Authorization to Test (IATT), and Authority to Operate (ATO)

Knowledge of emerging enterprise architecture frameworks, their purpose and implementation, and how they will relate to and impact Navy architectures

Ability to facilitate collaborative Digital Engineering meetings, technical interchanges, and MSBE office hours

Possession of excellent verbal and written communication skills

TS/SCI clearance

Master’s degree

OMG-Certified Systems Modeling Language Professional (OCSMP) Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided .

• Work Model
• Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected